MLlib: Main Guide

• Basic statistics
• Data sources
• Pipelines
• Extracting, transforming and selecting features
• Classification and Regression
• Clustering
• Collaborative filtering
• Frequent Pattern Mining
• Model selection and tuning
• Advanced topics

MLlib: RDD-based API Guide

• Data types
• Basic statistics
• Classification and regression
• Collaborative filtering
• Clustering
• Dimensionality reduction
• Feature extraction and transformation
• Frequent pattern mining
• Evaluation metrics
• PMML model export
• Optimization (developer)